Search DIAN Data Resource Requests

In order to avoid the situation where two investigators study the same research question, please search our database to determine if your topic has already been studied. If you find that your topic or a related topic has already been submitted, you may wish to contact the investigator to inquire about his/her findings to determine how you might proceed. You may wish to collaborate or modify your request to avoid overlap. The results below reflect requests made since online requests have been accepted. As such, not all fields will have data as certain information, such as aims, were not collected until recently. If an entry has been assigned an ID # (e.g. DIAN-D1004), the full request has been submitted and is either approved, disapproved or in process.

Aim 44) Explore the degree to which distress-related measures Neuroticism, depressive symptoms, and subjective cognitive symptoms are associated with each other and share outcome-associated variance (i.e., biomarkers and disease progression measures such as estimated time-to-onset).

Aim 3:Examine whether changes in other areas of cognition are associated with BDNF Val66Met and AÎ²

Investigator:Randall Bateman

Title:Post-dural puncture headache: An analysis of the risks of experiencing headaches after a Lumbar Puncture procedure on the Dominantly Inherited Alzheimer Network (DIAN) participants

Date of Request:6/17/2013

Status:A

ID:DIAN-D1307

Aim 1:Analyze the relationships between factors of CSF collection of LP procedures on and adverse events of DIAN participants.

Investigator:Randall Bateman

Title:Clinical and cognitive measures of the DIAN cohort

Date of Request:7/12/2013

Status:A

ID:DIAN-D1308

Aim 1:Determine the longitudinal rate of clinical conversion from cognitively normal to dementia in a carefully studied population of DIAN participants including average age of onset and CDR and psychometric rate of progression.

Aim 2:Evaluate the cognitive and clinical change, including rate of change, by multifactorial analysis including age, estimated years to onset (parental age of onset), ApoE4, average familial onset, genetic risk factors and biomarkers.